998: In Case You Missed It in May 2026
In this month’s episode of ICYMI, Jon Krohn explores how AI agents are simultaneously creating new risks and unlocking powerful new ways of working with data. Hear from Anneka Gupta, Cal Al-Dhubaib, Trevor Manz, Jazmia Henry, Jeremy Mumford, and Jacob Miller, discussing why the old cybersecurity playbook breaks down in the age of Claude Mythos, how the notebook became an AI agent’s working memory, what it really takes to build a foundation model from scratch, and why failing slowly is the most expensive mistake an AI team can make.
Additional materials: www.superdatascience.com/998
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(00:40) Why Claude Mythos Changes Everything About Cybersecurity
(08:11) Why Your Notebook Should Be Your Agent’s Working Memory
(13:19) What It Actually Takes to Build a Foundation Model From Scratch
(20:46) Failing Slowly Is the Most Expensive AI Mistake
989: Security for Mythos-Era Agentic Risks, with Rubrik’s Anneka Gupta and Cal Al-Dhubaib
Rubrik’s Anneka Gupta and Cal Al-Dhubaib speak to Jon Krohn about cybersecurity measures, the risks AI in business might pose for malicious attacks, and why AI should be kept “boring.” Find out how Rubrik safeguards client data, what zero trust is in the context of cybersecurity, and why cyber-resilience needs to be a top priority for companies looking to adopt AI.
Additional materials: www.superdatascience.com/989
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(02:25) All about Rubrik
(08:51) The announcement of Claude Mythos
(26:26) Utilizing zero trust
(40:36) About the Rubrik agent cloud
865: How to Grow (and Sell) a Data Science Consultancy, with Cal Al-Dhubaib
Jon Krohn talks to Cal Al-Dhubaib about the extraordinary success of AI and machine learning solutions provider Pandata, his ironclad hack for any company to define their core values, and how to attract and secure loyal clients. Cal thinks tech professionals make two critical mistakes in their careers: The first is that they too-often enjoy being the gatekeepers of their work rather than educating their clients and coworkers as to the details of their projects and why it benefits the company. The second is that tech professionals don’t show vulnerability, whether that means not knowing a topic or not fully understanding how a business works. This issue, Cal says, can spell the difference between a startup’s success and failure. Learn how tech startups can make an ironclad strategy for their future in this episode of The SuperDataScience Podcast.
This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(09:32) How to scale a successful data science consultancy
(22:25) How Pandata navigates highly regulated environments
(27:59) How to tackle tech illiteracy in business
(36:32) What skills Cals looks for in new hires
(35:56) How to sell on a tech company
Additional materials: www.superdatascience.com/865
828: Are “Citizen Data Scientists” A Myth? With Keith McCormick
The citizen data scientist: Fact or fiction? Jon Krohn holds a conversation across episodes in this Five-Minute Friday, with today’s guest Keith McCormick, in part responding to Nick Elprin’s interview in episode 811: Scaling Data Teams Effectively.
Additional materials: www.superdatascience.com/828
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
655: AI ROI: How to get a profitable return on an AI-project investment
Transparent data science, profitable AI, and what’s missing from a data science education: Pandata’s Data Scientist in Residence Keith McCormick and Jon Krohn discuss how “insights” can never be the end product of a data science project, how to ensure you have a specific goal at the start of a project that is related to revenue, and why there is so much miscommunication between data scientists and their clients. Exclude the C-suite at your peril!
This episode is brought to you by Glean (glean.io), the platform for data insights, fast. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:
• What an Executive Data Scientist in Residence is [05:27]
• What A.I. transparency is and how it relates to the field of Explainable A.I. (XAI) [17:34]
• How companies can ensure they profit from AI projects [36:47]
• Possible organization structures for data science teams to be profitable [1:02:41]
• The current gaps in data science education [1:09:58]
Additional materials: www.superdatascience.com/655
628: The Critical Human Element of Successful A.I. Deployments
On this episode of Five-Minute Friday, Jon Krohn speaks from the Open Data Science Conference (ODSC). There, he sits down with author and data scientist Keith McCormick to discuss the conference’s key trend: learning the importance of trust in the relationship between humans and algorithms.
Additional materials: www.superdatascience.com/628
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.